@mastersthesis {xRamos-Caballero15, title = {Keyframe-based Video Summarization Designer}, year = {2015}, abstract = {

Advisors: Xavier Gir{\'o}-i-Nieto (UPC) and Horst Eidenberger (TU Wien)

Studies: Bachelor Degree inAudiovisual Systems Engineeringat Telecom BCN-ETSETB from the Technical University of Catalonia (UPC)

Grade: B (8.7/10)

This Final Degree Work extends two previous projects and consists in carrying out an improvement of the video keyframe extraction module from one of them called Designer Master, by integrating the algorithms that were developed in the other, Object Maps.

Firstly the proposed solution is explained, which consists in a shot detection method, where the input video is sampled uniformly and afterwards, cumulative pixel-to-pixel difference is applied and a classifier decides which frames are keyframes or not.

Last, to validate our approach we conducted a user study in which both applications were compared. Users were asked to complete a survey regarding to different summaries created by means of the original application and with the one developed in this project. The results obtained were analyzed and they showed that the improvement done in the keyframes extraction module improves slightly the application performance and the quality of the generated summaries.

Keyframe-based Video Summarization Designer from Xavier Giro
}, author = {Ramos-Caballero, Carlos}, editor = {Eidenberger, Horst and Xavier Gir{\'o}-i-Nieto} }